AI RESEARCH
SceneGraphVLM: Dynamic Scene Graph Generation from Video with Vision-Language Models
arXiv CS.CV
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ArXi:2605.13667v1 Announce Type: new Scene graph generation provides a compact structured representation for visual perception, but accurate and fast graph prediction from images and videos remains challenging. Recent VLM-based methods can generate scene graphs end-to-end as structured text, yet often produce long outputs with irrelevant objects and relations. We present SceneGraphVLM, a compact method for image and video scene graph generation with small visual language models.